ICA with PCA and predetermined mixing matrix
J.Geuze at STUDENT.RU.NL
Fri Feb 8 10:52:05 CET 2008
I am trying to use ICA with a predetermined mixing matrix on my data.
I have the following situation: I want to use Cluster Analysis on the
components of two of my datasets. In this case, you want to have the
same components for both datasets. I have measured with 256 electrodes
and after removing the bad electrodes, 204 are left. I then run ICA
with the PCA setting to 64. I run this on my two appended datasets.
Then I want to use the mixing matrix found there to do ICA on each of
my two separate datasets. But because I go from 204 electrodes to 64
components, the weights matrix is not square. Is there a way to use
componentanalysis with a non-square predetermined mixing matrix? Or is
there another way to get the components of the appended datasets into
the two separate datasets?
J. Geuze M.Sc.
Cognitive Artificial Intelligence
NICI, Radboud University Nijmegen
Montessorilaan 3, Room B.02.28
6500 HE Nijmegen
Tel: +31(0)24 3611938
J.Geuze at nici.ru.nl
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